Who we are :
We are a community of Machine Learning Researchers and Engineers, working to improve Twitter through applications of ML through a range of systems -
e.g. recommendations, safety, abuse, ads. We operate at scale whilst ensuring fair and ethical use of our models and data.
We work as embedded researchers amongst product teams, looking to apply the expertise of the individuals to improve our products and unlock new capabilities.
What you will do :
Apply your research expertise to improve our ML-driven products, help us develop new solutions and unlock new directions, as well as analyse and optimise the systems we already.
You’ll work closely with product teams and mentor them on best practices for modern ML, and keep the wider team informed on the state-
of-the-art. In addition, you will be in a strategic position to influence future roadmaps for ML-driven products.
Who you are :
You have a depths of knowledge in a ML-driven field - e.g. NLP, Computer Vision, Prediction / Inference, etc and you are interested in applying your knowledge and skill set to one or more of our product areas -
e.g. media / content understanding, behavioural understanding, recommendation systems, model performance optimisation. You are passionate about the way we develop state-
of-the-art technologies and are excited by the application of theory to real-world problems. You keep up to date with the latest developments in the field and look for ways to apply them to your current work / role.
or equivalent work experience
Nice to haves :
g. Bayesian)Online LearningReinforcement Learning
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.